Lead the design and build of Sparta's LNG product set: netbacks, arbitrage routes, delivered price curves and the analytical tools that sit on top of them
Build the LNG expert inside Leonidas with our AI engineers: the tools it calls, the domain rules it follows and the knowledge base behind them
Build automated products with the team: a daily LNG brief autonomously written by AI analyst, alerts on the curves and spreads that matter, and the quality checks that catch errors before clients see them
Build evaluation sets that test the AI against desk judgement, and keep them passing as the product changes
Build the data pipelines behind the vertical with data and engineering colleagues: price inputs, freight and regas assumptions, vessel and terminal data, route onboarding and automated data quality checks
Build and scale backend services and data layers using Go, TypeScript, Postgres, and Neo4j, develop parsers and integrations for industrial data, and design interfaces for operators.
Compensation
Salary range: $180,000 to $350,000 annually. Visa sponsorship is available.
Responsibilities
Build and scale backend services and data layers using Go, TypeScript, Postgres, and Neo4j.
Develop parsers and integrations that bring SCADA, PLC, historian, MES, and ERP data into a unified plant model.
Build agent infrastructure and large-scale data ingestion pipelines across AWS and Azure.
Design clear, practical interfaces for industrial operators.
Own features end to end, incorporating customer feedback into product improvements.
Requirements
degree or equivalent experience in computer science
MaxIT Consulting is looking for a Full Stack Engineer, Applied AI to join a venture-backed, early-stage AI company building an AI-native operating system for drug development programs, already used by leading biopharma companies.
Compensation
Apply through this same channel with your updated resume and your expected gross annual base salary in USD.
Responsibilities
Design and build backend services on Python, FastAPI and Postgres.
Build applied AI workflows with the OpenAI API, LangGraph, vector databases and search systems.
Develop ingestion, indexing and search pipelines for scientific and regulatory documents.
Build customer-facing features end to end, from data model and API to the React/TypeScript frontend.
Ground AI outputs in source data with traceable, verifiable citations.
Own customer problems from discovery to launch, design experiences, build across the stack, and ship features for a financial operating system.
Compensation
The starting salary for this position is between $140,250 - $207,775 USD. Candidate's location does not impact the posted salary range. The actual compensation offered will be based on a variety of job-related factors including relevant skills, education, and experience. This position also includes equity in CoinTracker and benefits like medical, dental, vision, 401(k), life insurance, and PTO.
Responsibilities
Own problems from discovery to launch
Design the experience
Build across the stack
Ship interfaces, backend services, integrations, and AI workflows
Design, build, and launch resilient, high-performance web applications and secure APIs that process, visualize, and fuse multi-source intelligence data for mission-critical operator workflows.
Compensation
The base salary range for this role is $180,000–$240,000. Final compensation will depend on experience, skills, and location. This role is also eligible for our bonus program and equity.
Responsibilities
Design, build, and launch resilient, high-performance web applications and secure APIs that process, visualize, and fuse multi-source intelligence data
Partner directly with Product, Design, Domain SMEs, and other Engineering teams to translate complex technical requirements into seamless user experiences
Deploy in the product alongside tactical operators, iteratively building, validating, and optimizing custom tools directly within real-world national security operational contexts
Extend and strengthen Andesite’s core platform capabilities, ensuring seamless data integration, low-latency performance, and scalable infrastructure that benefits multiple product offerings
Requirements
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
Nice to have: Experience working in an early stage (Seed / Series A) startup
Nice to have: Experience developing AI products that leverage natural language processing, computer vision, or other machine learning techniques
Lead mobile engineering for Android and iOS platforms, driving architecture, performance, and AI-enabled features across Capital One’s mobile ecosystem.
Compensation
McLean, VA: $197,300 - $225,100 for Mobile Engineer 4
Responsibilities
Partner with software engineers, designers, and product managers to deliver high-performing, quality features for 100M+ customers
Provide technical leadership for mobile architecture and design patterns
Mentor other engineers, fostering growth through feedback and code reviews
Grow and provide subject matter expertise in key platform areas
Contribute to mobile architecture decisions, API design reviews, and reusable component development
Requirements
Bachelor's Degree in Computer Science or related quantitative field
Nice to have: 4+ years of experience building native mobile applications
Nice to have: Demonstrated experience with modern native UI frameworks
Nice to have: Demonstrated experience designing and building automated testing suites
Nice to have: Proven experience with performance tuning and optimization
Design, build, and deploy custom AI-enabled software, applications, and agent workflows to support CNAS researchers in AI policy and national security research.
Compensation
$125,000 – $215,000, depending on qualifications and experience.
Responsibilities
Build custom software and tools
Embed with CNAS researchers to build custom code, applications, and AI agent workflows
Rapidly prototype tools and refine them based on usage
Build agents and pipelines for data processing and visualization
Automate business functions
Requirements
Bachelor’s degree in computer science, software engineering, or a related field
Nice to have: 5+ years of professional software engineering experience
Nice to have: Interest in AI policy, national security, or AI safety and security
Nice to have: Experience with think tank, government, or academic research analysis
Nice to have: Experience with data visualization and web development
Lead self‑serve acquisition and growth journeys for Zyte’s web data products, owning the funnel from signup to paid subscription and driving experimentation and data‑driven growth.
Responsibilities
Manage the self‑serve funnel end‑to‑end
Define, measure and improve every stage of the funnel
Be product owner for the website and product UI
Set roadmap and priorities for web presence and platform UX
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